import Header from './_source-info-header.md';

Mux#

Mux.com is a video technology platform that provides infrastructure and tools for developers to build and stream high-quality video content.

This Mux dlt verified source and
pipeline example
loads data using the “Mux API” to the destination of your choice.

Note: The source mux_source loads all video assets, but each video view is for yesterday only!

Setup guide#

Grab credentials#

1. Sign in to mux.com.

2. Click "Settings" at the bottom left, then select "Access Token".

3. Select "Generate new token".

4. Assign read permissions for Mux videos and data, and name the token.

5. Click "Generate token".

6. Copy the API access token and secret key for later configuration.

Note: The Mux UI, which is described here, might change.
The full guide is available at this link.

Initialize the verified source#

To get started with your data pipeline, follow these steps:

1. Enter the following command:

   ⧉

   dlt init mux duckdb
   

   This command will initialize
   the pipeline example
   with Mux as the source and
   duckdb as the destination.

2. If you'd like to use a different destination, simply replace duckdb with the name of your
   preferred destination.

3. After running this command, a new directory will be created with the necessary files and
   configuration settings to get started.

Add credentials#

1. Inside the .dlt folder, you'll find a file called secrets.toml, which is where you can securely store your access tokens and other sensitive information. It's important to handle this file with care and keep it safe.

   Here's what the file looks like:

   ⧉

   # Put your secret values and credentials here. Do not share this file and do not push it to GitHub
   [sources.mux]
   mux_api_access_token = "please set me up" # Mux API access token
   mux_api_secret_key = "please set me up!" # Mux API secret key
   

2. Replace the API access and secret key with the ones that you copied above.
   This will ensure that this source can access your Mux resources securely.

3. Finally, enter credentials for your chosen destination as per the docs.

For more information, read the General Usage: Credentials.

Run the pipeline#

1. Before running the pipeline, ensure that you have installed all the necessary dependencies by
   running the command:
   ⧉

   pip install -r requirements.txt
   

2. You're now ready to run the pipeline! To get started, run the following command:
   ⧉

   python mux_pipeline.py
   

3. Once the pipeline has finished running, you can verify that everything loaded correctly by using
   the following command:
   ⧉

   dlt pipeline <pipeline_name> show
   

   For example, the pipeline_name for the above pipeline example is
   mux, you may also use any custom name instead.

For more information, read the guide on how to run a pipeline.

Sources and resources#

dlt works on the principle of sources and
resources.

Source mux_source#

This function yields resources "asset_resource" and "views_resource" to load video assets and views.

@dlt.source
def mux_source() -> Iterable[DltResource]:
    yield assets_resource
    yield views_resource

Resource assets_resource#

The assets_resource function fetches metadata about video assets from the Mux API's "assets" endpoint.

DEFAULT_LIMIT = 100

@dlt.resource(write_disposition="merge")
def assets_resource(
    mux_api_access_token: str = dlt.secrets.value,
    mux_api_secret_key: str = dlt.secrets.value,
    limit: int = DEFAULT_LIMIT,
) -> Iterable[TDataItem]:
    ...

mux_api_access_token: Mux API token for authentication, defaults to ".dlt/secrets.toml".

mux_api_secret_key: Mux API secret key for authentication, defaults to ".dlt/secrets.toml".

limit: Sets the cap on the number of video assets fetched. "DEFAULT_LIMIT" set to 100.

Resource views_resource#

This function yields data about every video view from yesterday to be loaded.

@dlt.resource(write_disposition="append")
def views_resource(
    mux_api_access_token: str = dlt.secrets.value,
    mux_api_secret_key: str = dlt.secrets.value,
    limit: int = DEFAULT_LIMIT,
) -> Iterable[DltResource]:
    ...

The arguments mux_api_access_token, mux_api_secret_key, and limit are the same as described above in "asset_resource".

Customization#

Create your own pipeline#

If you wish to create your own pipelines, you can leverage source and resource methods from this
verified source.

1. Configure the pipeline by specifying the pipeline name, destination, and dataset as follows:

   ⧉

   pipeline = dlt.pipeline(
       pipeline_name="mux_pipeline", # Use a custom name if desired
       destination="bigquery", # Choose the appropriate destination (e.g., duckdb, redshift, post)
       dataset_name="mux_dataset" # Use a custom name if desired
   )
   

2. To load metadata about every asset to be loaded:

   ⧉

   load_info = pipeline.run(mux_source().with_resources("assets_resource"))
   print(load_info)
   

3. To load data for each video view from yesterday:

   ⧉

   load_info = pipeline.run(mux_source().with_resources("views_resource"))
   print(load_info)
   

4. To load both metadata about assets and video views from yesterday:

   ⧉

   load_info = pipeline.run(mux_source())
   print(load_info)